FCS 领域集锦 | Knowledge Discovery and Data Mining 专题

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        Frontiers of Computer Science (FCS) 按领域整理了新近发表的优质论文，共14个领域。公众号将连续推出各领域，敬请您持续关注。全部内容请点击“阅读全文”，登录期刊网页查询。

“FCS 领域集锦”第5期推出的是Knowledge Discovery and Data Mining专题，共14篇文章。

目录

Efficient sampling methods for characterizing POIs on maps based on road networks

PoIs地图标注的基于道路网络的高效采样方法

Ziting ZHOU, Pengpeng ZHAO, Victor S. SHENG, Jiajie XU, Zhixu LI, Jian WU, Zhiming CUI

Frontiers of Computer Science 2018,12(3):582-592

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Exploit latent Dirichlet allocation for collaborative filtering

基于LDA模型的协同过滤

Zhoujun LI, Haijun ZHANG, Senzhang WANG, Feiran HUANG, Zhenping LI, Jianshe ZHOU

Frontiers of Computer Science 2018,12 (3):571-581

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Improved expert selection model for forex trading

外汇交易专家选择模型的改进

Jia ZHU, Xingcheng WU, Jin XIAO, Changqin HUANG, Yong TANG, Ke Deng

Frontiers of Computer Science 2018,12 (3):518-527

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NERank+: a graph-based approach for entity ranking in document collections

基于文档集合的实体排序图算法NERank+

Chengyu WANG, Guomin ZHOU, Xiaofeng HE, Aoying ZHOU

Frontiers of Computer Science 2018,12 (3):504-517

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A probabilistic framework of preference discovery from folksonomy corpus  

从大众分类法语料库挖掘用户偏好的概率框架

Xiaohui GUO, Chunming HU, Richong ZHANG, Jinpeng HUAI

Frontiers of Computer Science 2017,11 (6):1075-1084

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A hierarchical similarity based job recommendation service framework for university students

基于层次相似性的UNI工作推荐服务框架

Rui LIU, Wenge RONG, Yuanxin OUYANG, Zhang XIONG

Frontiers of Computer Science 2017,11(5):912-922

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Boosting imbalanced data learning with Wiener process oversampling

使用维纳过程过采样技术改善不平衡数据的学习

Qian LI, Gang LI, Wenjia NIU, Yanan CAO, Liang CHANG, Jianlong TAN, Li GUO

Frontiers of Computer Science 2017,11 (5):836-851

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Topic evolution based on the probabilistic topic model: a review

基于概率主题模型的话题演化研究综述

Houkui ZHOU, Huimin YU, Roland HU

Frontiers of Computer Science 2017,11(5):786-802

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Discovering context-aware conditional functional dependencies

关于内容相关的条件函数依赖的规则发现

Yuefeng DU, Derong SHEN, Tiezheng NIE, Yue KOU, Ge YU

Frontiers of Computer Science 2017,11 (4):688-701

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Hybrid immunizing solution for job recommender system

基于混合免疫方案的工作职位推荐系统

Shaha AL-OTAIBI, Mourad YKHLEF

Frontiers of Computer Science 2017,11(3):511-527

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Extracting optimal actionable plans from additive tree models

从叠加树模型中提取最优可操作方案

Qiang LU,Zhicheng CUI,Yixin CHEN,Xiaoping CHEN

Frontiers of Computer Science 2017,11(1):160-173

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A genetic algorithm based entity resolution approach with active learning

一种基于遗传算法的主动学习实体解析方法

Chenchen SUN,Derong SHEN,Yue KOU,Tiezheng NIE,Ge YU

Frontiers of Computer Science 2017,11(1):147-159

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Fast counting the cardinality of flows for big traffic over sliding windows

滑动窗口大流量的快速基数计算

Jingsong SHAN,Yinjin FU,Guiqiang NI,Jianxin LUO,Zhaofeng WU

Frontiers of Computer Science 2017,11(1):119-129

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ScenicPlanner: planning scenic travel routes leveraging heterogeneous user-generated digital footprints 

ScenicPlanner：利用用户生成的异构数字足迹规划风景旅游路线

Chao CHEN,Xia CHEN,Zhu WANG,Yasha WANG,Daqing ZHANG

Frontiers of Computer Science 2017,11(1):61-74

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Frontiers of Computer Science

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Frontiers of Computer Science （FCS）是由教育部主管、高等教育出版社出版、SpringerNature 公司海外发行的英文学术期刊。本刊于 2007 年创刊，双月刊，全球发行。主要刊登计算机科学领域具有创新性的综述论文、研究论文等。本刊主编为李未院士，执行主编为熊璋教授和周志华教授。编委会及青年 AE 团队由国内外知名学者及优秀青年学者组成。本刊被 SCI、Ei、DBLP、INSPEC、SCOPUS 和中国科学引文数据库（CSCD）核心库等收录，为 CCF 推荐期刊；两次入选“中国科技期刊国际影响力提升计划”；入选“第4届中国国际化精品科技期刊”。

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